Mistral AIMixtral 8x22B v0.1VSZ.ai (Zhipu AI)GLM-4.7
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Mixtral 8x22B v0.1 and GLM-4.7 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Benchmarks & Scores
Coding (human-eval)
45.1%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
65.54k tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
85.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.00Input: $0.60 | Output: $2.20Context WindowLarger
202.75k tokensFrequently Asked Questions about Mixtral 8x22B v0.1 vs GLM-4.7
For coding tasks, Mixtral 8x22B v0.1 scores 45.1% on human-eval (basic standalone code completion and simple functions), while GLM-4.7 scores 73.8% on swe-bench-verified (multi-file code and clearly defined tasks).
Related Matchups
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